Development workflow¶
You already have your own forked copy of the NumPy repository, by following Making your own copy (fork) of NumPy, Set up your fork, you have configured git by following Git configuration, and have linked the upstream repository as explained in Linking your repository to the upstream repo.
What is described below is a recommended workflow with Git.
Basic workflow¶
In short:
- Start a new feature branch for each set of edits that you do. See below.
- Hack away! See below
- When finished:
- Contributors: push your feature branch to your own Github repo, and create a pull request.
- Core developers If you want to push changes without further review, see the notes below.
This way of working helps to keep work well organized and the history as clear as possible.
See also
There are many online tutorials to help you learn git. For discussions of specific git workflows, see these discussions on linux git workflow, and ipython git workflow.
Making a new feature branch¶
First, fetch new commits from the upstream
repository:
git fetch upstream
Then, create a new branch based on the master branch of the upstream repository:
git checkout -b my-new-feature upstream/master
The editing workflow¶
Overview¶
# hack hack
git status # Optional
git diff # Optional
git add modified_file
git commit
# push the branch to your own Github repo
git push origin my-new-feature
In more detail¶
Make some changes. When you feel that you’ve made a complete, working set of related changes, move on to the next steps.
Optional: Check which files have changed with
git status
(see git status). You’ll see a listing like this one:# On branch my-new-feature # Changed but not updated: # (use "git add <file>..." to update what will be committed) # (use "git checkout -- <file>..." to discard changes in working directory) # # modified: README # # Untracked files: # (use "git add <file>..." to include in what will be committed) # # INSTALL no changes added to commit (use "git add" and/or "git commit -a")
Optional: Compare the changes with the previous version using with
git diff
(git diff). This brings up a simple text browser interface that highlights the difference between your files and the previous version.Add any relevant modified or new files using
git add modified_file
(see git add). This puts the files into a staging area, which is a queue of files that will be added to your next commit. Only add files that have related, complete changes. Leave files with unfinished changes for later commits.To commit the staged files into the local copy of your repo, do
git commit
. At this point, a text editor will open up to allow you to write a commit message. Read the commit message section to be sure that you are writing a properly formatted and sufficiently detailed commit message. After saving your message and closing the editor, your commit will be saved. For trivial commits, a short commit message can be passed in through the command line using the-m
flag. For example,git commit -am "ENH: Some message"
.In some cases, you will see this form of the commit command:
git commit -a
. The extra-a
flag automatically commits all modified files and removes all deleted files. This can save you some typing of numerousgit add
commands; however, it can add unwanted changes to a commit if you’re not careful. For more information, see why the -a flag? - and the helpful use-case description in the tangled working copy problem.Push the changes to your forked repo on github:
git push origin my-new-feature
For more information, see git push.
Note
Assuming you have followed the instructions in these pages, git will create
a default link to your github repo called origin
. In git >= 1.7 you
can ensure that the link to origin is permanently set by using the
--set-upstream
option:
git push --set-upstream origin my-new-feature
From now on git will know that my-new-feature
is related to the
my-new-feature
branch in your own github repo. Subsequent push calls
are then simplified to the following:
git push
You have to use --set-upstream
for each new branch that you create.
It may be the case that while you were working on your edits, new commits have
been added to upstream
that affect your work. In this case, follow the
Rebasing on master section of this document to apply those changes to
your branch.
Writing the commit message¶
Commit messages should be clear and follow a few basic rules. Example:
ENH: add functionality X to numpy.<submodule>.
The first line of the commit message starts with a capitalized acronym
(options listed below) indicating what type of commit this is. Then a blank
line, then more text if needed. Lines shouldn't be longer than 72
characters. If the commit is related to a ticket, indicate that with
"See #3456", "See ticket 3456", "Closes #3456" or similar.
Describing the motivation for a change, the nature of a bug for bug fixes or
some details on what an enhancement does are also good to include in a commit
message. Messages should be understandable without looking at the code
changes. A commit message like MAINT: fixed another one
is an example of
what not to do; the reader has to go look for context elsewhere.
Standard acronyms to start the commit message with are:
API: an (incompatible) API change
BENCH: changes to the benchmark suite
BLD: change related to building numpy
BUG: bug fix
DEP: deprecate something, or remove a deprecated object
DEV: development tool or utility
DOC: documentation
ENH: enhancement
MAINT: maintenance commit (refactoring, typos, etc.)
REV: revert an earlier commit
STY: style fix (whitespace, PEP8)
TST: addition or modification of tests
REL: related to releasing numpy
Asking for your changes to be merged with the main repo¶
When you feel your work is finished, you can create a pull request (PR). Github has a nice help page that outlines the process for filing pull requests.
If your changes involve modifications to the API or addition/modification of a function, you should initiate a code review. This involves sending an email to the NumPy mailing list with a link to your PR along with a description of and a motivation for your changes.
Rebasing on master¶
This updates your feature branch with changes from the upstream NumPy github repo. If you do not absolutely need to do this, try to avoid doing it, except perhaps when you are finished. The first step will be to update the remote repository with new commits from upstream:
git fetch upstream
Next, you need to update the feature branch:
# go to the feature branch
git checkout my-new-feature
# make a backup in case you mess up
git branch tmp my-new-feature
# rebase on upstream master branch
git rebase upstream/master
If you have made changes to files that have changed also upstream, this may generate merge conflicts that you need to resolve. See below for help in this case.
Finally, remove the backup branch upon a successful rebase:
git branch -D tmp
Note
Rebasing on master is preferred over merging upstream back to your
branch. Using git merge
and git pull
is discouraged when
working on feature branches.
Recovering from mess-ups¶
Sometimes, you mess up merges or rebases. Luckily, in Git it is relatively straightforward to recover from such mistakes.
If you mess up during a rebase:
git rebase --abort
If you notice you messed up after the rebase:
# reset branch back to the saved point
git reset --hard tmp
If you forgot to make a backup branch:
# look at the reflog of the branch
git reflog show my-feature-branch
8630830 my-feature-branch@{0}: commit: BUG: io: close file handles immediately
278dd2a my-feature-branch@{1}: rebase finished: refs/heads/my-feature-branch onto 11ee694744f2552d
26aa21a my-feature-branch@{2}: commit: BUG: lib: make seek_gzip_factory not leak gzip obj
...
# reset the branch to where it was before the botched rebase
git reset --hard my-feature-branch@{2}
If you didn’t actually mess up but there are merge conflicts, you need to resolve those. This can be one of the trickier things to get right. For a good description of how to do this, see this article on merging conflicts.
Additional things you might want to do¶
Rewriting commit history¶
Note
Do this only for your own feature branches.
There’s an embarrassing typo in a commit you made? Or perhaps the you made several false starts you would like the posterity not to see.
This can be done via interactive rebasing.
Suppose that the commit history looks like this:
git log --oneline
eadc391 Fix some remaining bugs
a815645 Modify it so that it works
2dec1ac Fix a few bugs + disable
13d7934 First implementation
6ad92e5 * masked is now an instance of a new object, MaskedConstant
29001ed Add pre-nep for a copule of structured_array_extensions.
...
and 6ad92e5
is the last commit in the master
branch. Suppose we
want to make the following changes:
- Rewrite the commit message for
13d7934
to something more sensible. - Combine the commits
2dec1ac
,a815645
,eadc391
into a single one.
We do as follows:
# make a backup of the current state
git branch tmp HEAD
# interactive rebase
git rebase -i 6ad92e5
This will open an editor with the following text in it:
pick 13d7934 First implementation
pick 2dec1ac Fix a few bugs + disable
pick a815645 Modify it so that it works
pick eadc391 Fix some remaining bugs
# Rebase 6ad92e5..eadc391 onto 6ad92e5
#
# Commands:
# p, pick = use commit
# r, reword = use commit, but edit the commit message
# e, edit = use commit, but stop for amending
# s, squash = use commit, but meld into previous commit
# f, fixup = like "squash", but discard this commit's log message
#
# If you remove a line here THAT COMMIT WILL BE LOST.
# However, if you remove everything, the rebase will be aborted.
#
To achieve what we want, we will make the following changes to it:
r 13d7934 First implementation
pick 2dec1ac Fix a few bugs + disable
f a815645 Modify it so that it works
f eadc391 Fix some remaining bugs
This means that (i) we want to edit the commit message for
13d7934
, and (ii) collapse the last three commits into one. Now we
save and quit the editor.
Git will then immediately bring up an editor for editing the commit message. After revising it, we get the output:
[detached HEAD 721fc64] FOO: First implementation
2 files changed, 199 insertions(+), 66 deletions(-)
[detached HEAD 0f22701] Fix a few bugs + disable
1 files changed, 79 insertions(+), 61 deletions(-)
Successfully rebased and updated refs/heads/my-feature-branch.
and the history looks now like this:
0f22701 Fix a few bugs + disable
721fc64 ENH: Sophisticated feature
6ad92e5 * masked is now an instance of a new object, MaskedConstant
If it went wrong, recovery is again possible as explained above.
Deleting a branch on github¶
git checkout master
# delete branch locally
git branch -D my-unwanted-branch
# delete branch on github
git push origin :my-unwanted-branch
(Note the colon :
before test-branch
. See also:
http://github.com/guides/remove-a-remote-branch
Several people sharing a single repository¶
If you want to work on some stuff with other people, where you are all committing into the same repository, or even the same branch, then just share it via github.
First fork NumPy into your account, as from Making your own copy (fork) of NumPy.
Then, go to your forked repository github page, say
http://github.com/your-user-name/numpy
Click on the ‘Admin’ button, and add anyone else to the repo as a collaborator:
Now all those people can do:
git clone git@githhub.com:your-user-name/numpy.git
Remember that links starting with git@
use the ssh protocol and are
read-write; links starting with git://
are read-only.
Your collaborators can then commit directly into that repo with the usual:
git commit -am 'ENH - much better code'
git push origin my-feature-branch # pushes directly into your repo
Exploring your repository¶
To see a graphical representation of the repository branches and commits:
gitk --all
To see a linear list of commits for this branch:
git log
You can also look at the network graph visualizer for your github repo.
Backporting¶
Backporting is the process of copying new feature/fixes committed in
numpy/master back to stable release branches. To do this you make a branch
off the branch you are backporting to, cherry pick the commits you want from
numpy/master
, and then submit a pull request for the branch containing the
backport.
First, you need to make the branch you will work on. This needs to be based on the older version of NumPy (not master):
# Make a new branch based on numpy/maintenance/1.8.x, # backport-3324 is our new name for the branch. git checkout -b backport-3324 upstream/maintenance/1.8.x
Now you need to apply the changes from master to this branch using git cherry-pick:
# Update remote git fetch upstream # Check the commit log for commits to cherry pick git log upstream/master # This pull request included commits aa7a047 to c098283 (inclusive) # so you use the .. syntax (for a range of commits), the ^ makes the # range inclusive. git cherry-pick aa7a047^..c098283 ... # Fix any conflicts, then if needed: git cherry-pick --continue
You might run into some conflicts cherry picking here. These are resolved the same way as merge/rebase conflicts. Except here you can use git blame to see the difference between master and the backported branch to make sure nothing gets screwed up.
Push the new branch to your Github repository:
git push -u origin backport-3324
Finally make a pull request using Github. Make sure it is against the maintenance branch and not master, Github will usually suggest you make the pull request against master.
Pushing changes to the main repo¶
This is only relevant if you have commit rights to the main NumPy repo.
When you have a set of “ready” changes in a feature branch ready for
NumPy’s master
or maintenance
branches, you can push
them to upstream
as follows:
First, merge or rebase on the target branch.
Only a few, unrelated commits then prefer rebasing:
git fetch upstream git rebase upstream/master
See Rebasing on master.
If all of the commits are related, create a merge commit:
git fetch upstream git merge --no-ff upstream/master
Check that what you are going to push looks sensible:
git log -p upstream/master.. git log --oneline --graph
Push to upstream:
git push upstream my-feature-branch:master
Note
It’s usually a good idea to use the -n
flag to git push
to check
first that you’re about to push the changes you want to the place you
want.